Who We Are

HP IQ is HP’s new AI innovation lab. Combining startup agility with HP’s global scale, we’re building intelligent technologies that redefine how the world works, creates, and collaborates.

We’re assembling a diverse, world-class team—engineers, designers, researchers, and product minds—focused on creating an intelligent ecosystem across HP’s portfolio. Together, we’re developing intuitive, adaptive solutions that spark creativity, boost productivity, and make collaboration seamless.

We create breakthrough solutions that make complex tasks feel effortless, teamwork more natural, and ideas more impactful—always with a human-centric mindset.

By embedding AI advancements into every HP product and service, we’re expanding what’s possible for individuals, organisations, and the future of work.

Join us as we reinvent work, so people everywhere can do their best work.

About The Role 

As a Machine Learning Engineer – Recommender Systems, you’ll play a central role in improving HP’s Retrieval-Augmented Generation (RAG) pipelines for private and local data. You’ll build intelligent, context-aware retrieval systems that enhance user interactions with documents, meetings, and applications—all on-device. This role blends deep ML experience with product-focused engineering. 

What You Might Do Design, implement, and scale recommendation and retrieval algorithms for our AI Companion appImprove vector search and similarity matching models to identify relevant documents across structured and unstructured dataAnalyze user interactions and system performance to guide algorithmic improvementsWork across ML, infrastructure, and product teams to deploy fast and efficient RAG workflowsBuild and maintain retrieval indexes optimized for latency and memory 

Essential Qualifications 7+ years of software development experience with exposure to ML engineeringStrong foundation in recommender systems, embeddings, and ranking modelsExperience building or scaling document search or retrieval systemsFamiliarity with vector databases (e.g., FAISS, Pinecone, Qdrant)Proficient in Python and one systems language (e.g., C++, Java) 

Preferred Skills Background in LLM integration or fine-tuning for RAG workflowsIndustry experience at companies like Google (Search, YouTube), Meta (Feed, Ads), or Twitter (Timeline, Trends)Experience with ML pipeline tools (Airflow, Ray, TorchServe)Previous experience improving search relevance, click-through rate, or long-term engagement 

Salary Range:  $150,000 - $250,000

Compensation & Benefits (Full-Time Employees)

The salary range for this role is listed above. Final salary offered is based upon multiple factors including individual job-related qualifications, education, experience, knowledge and skills.

At HP IQ, we offer a competitive and comprehensive benefits package, including:

Health insuranceDental insuranceVision insuranceLong term/short term disability insuranceEmployee assistance programFlexible spending accountLife insuranceGenerous time off policies, including; 4-12 weeks fully paid parental leave based on tenure11 paid holidaysAdditional flexible paid vacation and sick leave (US benefits overview)

Why HP IQ?

HP IQ is HP’s new AI innovation lab, building the intelligence to empower humanity—reimagining how we work, create, and connect to shape the future of work.

Innovative Work
Help shape the future of intelligent computing and workplace transformation.Autonomy and Agility
Work with the speed and focus of a startup, backed by HP’s scale.Meaningful Impact
Build AI-powered solutions that help people and organisations thrive.Flexible Work Environment
Freedom and flexibility to do your best work.Forward-Thinking Culture
We learn fast, stay future-focused, and imagine what comes next—together.

Equal Opportunity Employer (EEO) Statement

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.